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On measuring similarity for sequences of itemsets

Overview of attention for article published in Data Mining and Knowledge Discovery, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
30 Mendeley
Title
On measuring similarity for sequences of itemsets
Published in
Data Mining and Knowledge Discovery, July 2014
DOI 10.1007/s10618-014-0362-1
Authors

Elias Egho, Chedy Raïssi, Toon Calders, Nicolas Jay, Amedeo Napoli

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Researcher 5 17%
Student > Master 5 17%
Student > Bachelor 3 10%
Lecturer 3 10%
Other 6 20%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 19 63%
Engineering 3 10%
Agricultural and Biological Sciences 2 7%
Medicine and Dentistry 2 7%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 2 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 May 2018.
All research outputs
#5,017,235
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#67
of 546 outputs
Outputs of similar age
#47,995
of 232,075 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#2
of 10 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 546 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 232,075 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.